Mahmoud Abdelnaser

Led development of an autonomous golf car using LiDAR and a monocular camera.
Designed AI pedestrian detection models and implemented Pure Pursuit path-following control.

Completed an intensive AI internship covering model training, deployment, and real-world use cases.
Built ML pipelines using scikit-learn and TensorFlow for classification and object detection tasks.
Worked in agile teams on AI applications in healthcare and automotive contexts.

Delivered offline AI and coding sessions for Grades 11 and 12.
Taught technical foundations of Artificial Intelligence, including real-world applications.
Designed interactive lesson plans to introduce advanced students to machine learning concepts.

Developed AI solutions for agriculture: drought forecasting, disease detection (92% accuracy), and soil prediction.
Integrated ARIMA, RNN, and LSTM models into a functional mobile app with chatbot and marketplace.

Acquired mastery in Python and machine learning techniques, including supervised, unsupervised, and reinforcement learning.
Developed projects leveraging TensorFlow for deep learning tasks, including OpenCV, CNN, RNN, and YOLOv8 applications.

Led technical training sessions on Microsoft Office, programming, and LinkedIn optimization.
Oversaw internal team task distribution and IT content development.